A two-component generalized extreme value distribution for precipitation frequency analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F16%3A00456409" target="_blank" >RIV/68378289:_____/16:00456409 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41330/16:70949 RIV/00216208:11320/16:10334375 RIV/46747885:24510/16:00008835
Result on the web
<a href="http://dx.doi.org/10.1016/j.jhydrol.2016.01.032" target="_blank" >http://dx.doi.org/10.1016/j.jhydrol.2016.01.032</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jhydrol.2016.01.032" target="_blank" >10.1016/j.jhydrol.2016.01.032</a>

Result language
angličtina
Original language name
A two-component generalized extreme value distribution for precipitation frequency analysis
Original language description
A two-component generalized extreme value(TCGEV) distribution is introduced based on the assumption that the annual maxima for convective and stratiform precipitation follow two separate generalized extreme value (GEV) distributions. The regional TCGEV model is used to analyze 6-hour precipitation data for 11 stations in the Czech Rep. over 1982–2010 subdivided into predominantly convective and stratiform precipitation. For each type of precipitation, the shape parameter and the ratio of the scale parameter and the location parameter of the underlying GEV distributions are assumed to be constant over the region. The validity of this homogeneity assumption is explored with a bootstrap procedure and the goodness-of-fit is tested with the Anderson-Darling statistic both for each individual station and for all stations simultaneously. The return levels from the regional TCGEV distribution are compared with those obtained with the common method of fitting a regional GEV distribution to the overall annual maxima, ignoring their convective or stratiform origin.The differences are generally small,but they increase with return period and are larger at lowland stations where the proportion of convective precipitation extremes is greater.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DG - Atmospheric sciences, meteorology
OECD FORD branch
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Project
<a href="/en/project/GA14-18675S" target="_blank" >GA14-18675S: Advanced models of precipitation extremes and their applications in high-resolution climate model simulations</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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